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Affiliated to Visvesvaraya Technological University, Belagavi
Approved By AICTE, New Delhi
Recognized by UGC with 2(f) & 12(B) status
Accredited by NBA and NAAC
AICTE-Sponsored Short Term Training Programme (STTP) on ’Research Challenges
and Emerging Trends in Ontology and Data Science for Deep Learning’
Date of the Event 12.10.2020 to 17.10.2020
Title of the Event AICTE-Sponsored Short Term Training Programme (STTP)
on ‘Research Challenges and Emerging Trends in Ontology
and Data Science for Deep Learning’
Organized by
Jointly organized by AICTE, New Delhi, and Dept. of
Information Science and Engineering, MVJCE, Bangalore
Name of the Resource Speaker Dr. Manjaiah D H Faculty, Mangalore University
Mr. Praveen Hancinal, Founder and Team Lead,
INWHIZZ IT Innovation
Mr. Mayur Patil, Project Manager at Cloint India Pvt.
Ltd.
Dr. Sandhiya Ravi, Faculty, Coimbatore Institute of
Technology, Anna University
Dr. M Thangamani, Faculty, Kongu Engineering
College, Anna University
Dr. Ezz Eldin, Faculty, Menoufia University, Egypt
AICTE - Sponsored Short Term Training Programme
Dr. Jeevan Pinto, Faculty, Mangalore University
Mr. Sripada H Ravindranath, Senior Engineer,
Infoworks.io
Mr. Narasimha Dutta N, Co-founder of GoMaster
Technologies, Visiting Professor at BITS-Pilani and
PES University
Dr. Abdo Hasan Ali Guroob, Faculty, Sumait
University, Tanzania
Mr. Anand Gurumurthy, CEO, Cosmitude Software
Pvt. Ltd.
The Department of Information Science and Engineering organized AICTE-Sponsored
Short Term Training Programme (STTP) on ‘Research Challenges and Emerging Trends in
Ontology and Data Science for Deep Learning’, from 12th October to 17th October 2020. The
purpose of this short-term training program was to enhance the skill set and knowledge of the
faculty members, Research Scholars and Industry professionals in areas like Bigdata, Data Mining,
Machine Learning, Ontology, Artificial Intelligence and Data Science. 80 participants from
various academic institutions and industries attended the programme.
Topics of the STTP:
Data Mining using Weka and Orange
Social Network Analysis for Big Data
Ontology
Ontology and Automation
Big data Analytic
AI and Automation
Data Science – The Emerging Trend
Machine Learning for Industrial Consultancy
Big Data in Industry
Natural Language Processing for Big Data
Deep Learning – Basics and Algorithms
Research challenges in Deep Learning
The STTP was inaugurated by Dr. P Mahabaleswarappa, Principal, MVJCE, on 12th October.
On behalf of the Management and the Institution, the Principal welcomed all the participants and
Resource Speakers to the Short erm Training Programme (STTP) on ‘Research Challenges and
Emerging Trends in Ontology and Data Science for Deep Learning’. In the welcome address, he
mentioned that considering the present research interest areas, the topic of the training program is
very apt. He added that Ontology is mainly concerned with organizing data into information and
knowledge, using which we can solve various problems in our domain. He said that in recent times,
every software industry and academic institution has been speaking about IoT, Machine Learning,
Cyber Security, Data Science etc. and Ontology is well-connected to all these thrust areas.
Following the Principal’s welcome address, Dr. Manjaiah D H, Professor, Mangalore University,
delivered the keynote address. In the keynote session, Dr. Manjaiah remarked that before three to
five decades, researchers had to put in enormous effort to solve a research problem because they
lacked proper knowledge of how to analyze or process large volumes of data. But today, with the
introduction of various emerging areas like Data Science, Data mining, Bigdata, Machine Learning
etc., data analysis, categorization and processing have become much easier and more convenient.
Dr. Manjaiah inspired the participants by interacting with them on topics such as Data Science
approaches for business decisions and incorporation of Artificial Intelligence in various real time
applications.
12.10.2020 - Session 1:
Following the keynote session by Dr. Manjaiah, the training program progressed towards Session
1. The topic for this session was ‘Data Mining using Weka and Orange’ and this was handled by
Mr. Praveen Hancinal, Founder and Team Lead, INWHIZZ IT Innovation.
During this session, Mr. Praveen Hancinal explained about the following concepts:
What is data
Why data should be mined
Where data mining is applicable
How Weka tool helps in data mining
Mr. Praveen Hancinal followed this up with a demonstration of Weka and Orange tools for data
mining.
12.10.2020 - Session 2:
The topic for the afternoon session was ‘Social Network Analysis for Big Data’, by Mr. Mayur
Patil, Project Manager at Cloint India Pvt. Ltd. During this session, Mr. Mayur Patil explained the
importance of social network analysis. He demonstrated social network analysis with the help of use cases.
He elaborated on key components and different levels of measures for social network analysis. He explained
the concepts with real time examples.
13.10.2020 - Session 1:
On 13.10.2020, Dr. Sandhiya Ravi, Faculty, Coimbatore Institute of Technology, Anna University,
conducted a session on ‘Ontology'. Dr. Sandhiya Ravi started her session with a brief explanation of
Ontology background.
During this session, Dr. Sandhiya Ravi explained the following concepts:
Types of data relation
Examples of relation
Class hierarchy
13.10.2020 - Session 2:
Session 2 on 13.10.2020 was conducted by Dr. M Thangamani, Faculty, Kongu Engineering College,
Anna University, on the topic ‘Ontology and Automation’.
During her session, the following concepts were explained:
Steps to create Ontology
Ontological structure for concept relation
Ontology data model that can be applied to a set of individual facts, to create a knowledge
graph
Ontologies for better Data Management
Dr. M Thangamani pointed out that Ontologies are now widely used in bioinformatics, and are
becoming increasingly important within the life sciences.
14.10.2020 - Session 1:
On 14.10.2020, Session 1 was on ‘Big data Analytic’, by Dr. Ezz Eldin, Faculty, Menoufia University,
Egypt.
Dr Ezz Eldin spoke about the origin of Bigdata. He explained bigdata characteristics, in terms of
size of the data. He mentioned that Bigdata is used in business to make better managerial decisions
by:
Automatic summarization of data
Extracting essence of information stored
Discovering patterns in raw data
The following concepts were dealt with by Dr. Ezz Eldin, during his session:
Steps involved in KDD Process
Data Analysis Life Cycle
DIKW Model
Evolution of the Internet
Edge analytics and Cloud analytics
Need for Virtualization
Evolution of Bigdata Process Engine
14.10.2020 - Session 2:
During Session 2 on 14.10.2020, Mr. Praveen Hancinal, Founder and Team Lead, INWHIZZ IT
Innovation, dealt with the various concepts and facts related to AI and Automation. Mr. Praveen
Hancinal started his session with a problem statement, mentioning the usefulness of Artificial
Intelligence in our daily life. He explained the key points that are related to AI.
In the latter part of his session, he elaborated on the following concepts:
Traditional Programming vs Machine Learning
How Machine Learning works
Categories of Machine Learning
Relation between IoT, Bigdata and AI
What AI deals with
Demonstration of an AI project
15.10.2020 - Session 1:
Mr. Sripada H Ravindranath, Senior Engineer, Infoworks.io delivered a lecture on ‘Machine
Learning for Industrial Consultancy’, during Session 1 of 15.10.2020. He expounded the following
concepts:
Spark MLib
Text Classification
Comparison of Training a data and Testing a data with an example ML workflow
Demonstration of Apache workflow with collaborative learning
Towards the end of his session, Mr. Sripada H Ravindranath asked the participants to work on
following assignment:
1) Install Python3 2) Install apache airflow 3) Install MySQL db 4) Manage the clustering in
apache airflow 5) Design a simple dag 6) Schedule a simple dag 7) Run a sample dag with simple
k-means python script getting executing inside the dag task 8) Schedule that dag for 10 runs in a
day 9) Evaluate the result of the k-means script in the end 10) Plot the char based on the output
received, using any open source visualization packages
15.10.2020 - Session 2:
In Session 2, Dr. Manjaiah D H, Faculty, Mangalore University, threw light on ‘Data Science – The
Emerging Trend’. He spoke about the research challenges of Data Science, relation of Data Science
and the Academia, Data Science case studies, tools and techniques.
Following the session of Dr. Manjaiah D H, more insight on Data Science was given by Dr. Jeevan
Pinto, Faculty, Mangalore University. Dr. Jeevan Pinto gave various real time example
applications of Data Science. He explained about the difference between Bigdata and Small Data,
Bigdata analytics for public service, 3 Vs of Bigdata, growth of data etc.
16.10.2020 - Session 1:
On 16.10.2020, Session 1 was conducted on ‘Big Data in Industry’, by Mr. Narasimha Dutta N,
Co-founder of GoMaster Technologies, Visiting Professor at BITS-Pilani and PES University. Mr.
Narasimha Dutta dealt with the following topics:
Bigdata Industry Objectives
MapReduce Use Cases
Timeline of Hadoop
HDFS Blocks
File Read & Write data flow
Pipeline node selection
Reverse web link graph
Yarn Application Processing
He then demonstrated MapReduce with sample data.
16.10.2020 - Session 2:
Session 2 was on ‘Natural Language Processing for Big Data’, by Mr. Mayur Patil, Project
Manager at Cloint India Pvt. Ltd. Mr. Mayur Patil took up the following topics during his session:
Natural language Toolkit
Rule Based vs Statistical NLP
Components of NLP
Python Libraries
Challenges of NLP
Application of NLP
Demonstration of NLP Tool
17.10.2020 - Session 1:
Session 1 on 17.10.2020 was on ‘Deep Learning – Basics and Algorithms’, by Dr. Abdo Hasan
Ali Guroob, Faculty, Sumait University, Tanzania. Dr. Abdo Hasan started his session by
highlighting the limitations of Machine Learning and pointed out how Deep learning comes to the
rescue. He covered the following topics during his session:
Types of Machine Learning
Applications of Deep learning
Deep Learning mechanisms
How Deep learning is related to Machine Learning
Need of Artificial Neurons, Convolutional Neural Network
Use Cases
17.10.2020 - Session 2:
The final session was on ‘Research Challenges in Deep Learning', by Mr. Anand Gurumurthy, CEO,
Cosmitude Software Pvt. Ltd.
He spoke about the research challenges faced by various organizations and explained how those
challenges are tackled with the help of Deep learning. Mr. Anand Gurumurthy mentioned that
Deep learning, the spearhead of artificial intelligence, is one of the most exciting technologies of
the decade. It has been used in various research problems such as recognizing speech, detecting
cancer etc.
The programme concluded with vote of thanks by Dr. Sanchari Saha, HOD, Dept. of ISE,
MVJCE.
At the end of the program, a test was conducted for the participants for distribution of the
certificates.
Outcome of the event:
The STTP provided inputs to the participants on various research domains which will enhance
their ability to work in interdisciplinary areas. It will boost their research ability and also enhance
their confidence to contribute in seminars / conferences / workshops, as Resource Persons.
Links for the STTP Phase-I Details in MVJCE Official Social Media:
Facebook: https://bit.ly/30JKH4P
Twitter: https://bit.ly/3lrAK3Q
LinkedIn: https://bit.ly/34CnZgc
Instagram: https://bit.ly/2Ie82oT